CN114533066A - Social anxiety assessment method and system based on composite expression processing brain network - Google Patents
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Abstract
The invention discloses a social anxiety assessment method and system based on compound expression processing brain network, and the method comprises the following steps: step S1: wearing a multichannel electroencephalogram measuring device for a subject; step S2: carrying out a compound expression stimulation test for a testee, and synchronously acquiring electroencephalogram data; step S3: preprocessing the electroencephalogram data, and extracting power values of all frequency points in an alpha frequency band through short-time Fourier transform; step S4: quantizing the relation among the channels according to the power synchronization degree; step S5: constructing a composite expression processing brain network according to a weight minimum principle; step S6: and extracting the neural index of the brain network so as to evaluate the social anxiety degree. The method can objectively evaluate the social anxiety degree of the individual, effectively avoids the problems of post sampling, strong subjectivity, social prospective deviation and the like of the traditional measuring means, and has wide market popularization value and application prospect.
Description
Technical Field
The invention belongs to the technical field of psychology, and relates to a social anxiety assessment method and system for processing a brain network based on compound expressions.
Background
Social anxiety refers to a significant and persistent state of anxiety exhibited by an individual and others during their daily social interactions. Such populations may exhibit significant, persistent tension or fear as they interact with, advance in, and be observed or evaluated, fear of receiving attention from others. At the same time, the symptoms of obvious vegetative nerve functional disturbance include accelerated heartbeat, sweating, flushing, mouth eating, distraction of eyes, muscular tension and the like. Physiological symptoms can cause social anxiety people to evaluate more negative self, further cause higher anxiety, form vicious circle to cause frustration in various aspects of academic industry, work, social intercourse and the like, and simultaneously cause tension in social relations, even derive serious social problems of social isolation, depression, drug or alcohol addiction, suicide and the like.
In scientific research, people are generally divided according to the difference of social anxiety degrees, and the degree gradually increases from social anxiety, social contact avoidance and social fear. In the past, social anxiety degree is divided more based on questionnaire evaluation, due to the reasons of subjective concealment, cognitive deviation, insufficient comprehension ability, repeated previous and subsequent questions and the like of social anxiety people and the need of depending on the auxiliary judgment of experienced psychological consultants, the existing evaluation technology inevitably has more subjectivity, and a biomarker reflecting neural plasticity change is considered to be taken as an objective index for preliminary screening and monitoring.
An electroencephalogram (EEG) is a general reflection of electrophysiological activities of brain nerve cells on the surface of a cerebral cortex or a scalp, contains a large amount of physiological and psychological information related to expression processing, has the characteristics of direct objectivity, difficulty in disguising, easiness in quantification, multiple features and the like, is convenient to extract, has high time resolution, and is a cognitive physiological index with a remarkable effect in the current psychological technical field. Social difficulties of social anxiety people are largely due to the inability to effectively utilize important social information, facial expressions, and show significant differences from the normal population in facial expression processing mechanisms. On the basis of extracting the electroencephalogram signals, the brain function network difference of the social anxiety people with different degrees is utilized, and the method can be used for evaluating the social anxiety degree.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a social anxiety assessment method and system based on compound expression processing brain network, which is characterized in that a subject wears multi-channel electroencephalogram measuring equipment; carrying out a negative compound expression stimulation test for a testee, and synchronously acquiring electroencephalogram data; extracting power values of all frequency points in the 8-10Hz frequency band through short-time Fourier transform; quantizing the relation among the channels according to the power synchronization degree; constructing a composite expression processing brain network according to a weight minimum principle; and extracting the neural index of the brain network and evaluating the social anxiety degree. The specific technical scheme is as follows:
a social anxiety assessment method based on compound expression processing brain network comprises the following steps:
step S1: wearing a multichannel electroencephalogram measuring device for a subject;
step S2: carrying out a compound expression stimulation test for a testee, and synchronously acquiring multi-channel electroencephalogram data;
step S3: preprocessing the acquired electroencephalogram data, and extracting power values of all frequency points in an alpha frequency band through short-time Fourier transform;
step S4: quantizing the relation among all channels according to the power synchronization degree;
step S5: constructing a composite expression processing brain network according to a weight minimum principle;
step S6: and processing a brain network based on the compound expression, extracting a brain network nerve index, and evaluating the social anxiety degree.
Furthermore, the number of electrode cap channels of the multichannel electroencephalogram measuring equipment is more than 32, and the channels are configured by adopting a 10-20 system of international unified standard.
Further, the compound expression stimulation test specifically includes: the negative compound expression pictures are presented for the testee, more than 40 pictures need to be watched by each tester each time, the presentation time of each negative compound expression picture is 1000 milliseconds, the pictures are presented at intervals by a plus screen and a blank screen which prompt attention, and the presentation time is 400 plus 600 milliseconds.
Further, the pretreatment specifically includes: removing the electrooculogram; bandwidth filtering: reserving a frequency range of 0.5 Hz-100 Hz; and (3) notch filtering: removing 50Hz mains supply interference; intercepting an analysis section: intercepting electroencephalogram data from 200 milliseconds before the picture appears to 800 milliseconds after the picture appears; baseline correction: taking electroencephalogram data from 200 milliseconds before the picture appears to the picture presenting time as a baseline; and switching the reference electrode and removing the artifacts.
Further, the power synchronization degree refers to an average power synchronization degree L between every two channels, and a calculation formula of L is as follows:
Further, the step S5 is specifically: and taking the channels as network nodes, taking the average power synchronization degree L between the two channels as the weight of the edges in the brain network, arranging the edges in an ascending order, adding the edge with the minimum weight in sequence, if the added edge forms a cycle, discarding the edge, and completing the construction of the composite expression processing brain network until all the nodes are contained in the brain network.
Further, the step S6 is specifically: and (3) using a leaf node ratio E as a neural index of the composite expression processing brain network, wherein the leaf node ratio E represents the proportion of the nodes with the degree of 1 to all the nodes, E belongs to [0, 1], and the higher the E value is, the higher the social anxiety degree of the individual is.
Social anxiety evaluation system based on compound expression processing brain network includes:
the compound expression stimulation testing device comprises an expression stimulation presenting device and a storage device, and is used for presenting the content of a compound expression stimulation testing program, developing a compound expression stimulation test for a testee and storing a compound expression stimulation material;
the electroencephalogram measuring equipment is used for acquiring electroencephalogram data of the testee and transmitting the electroencephalogram data to the evaluation and calculation unit;
the evaluation calculation unit comprises an electroencephalogram signal preprocessing module, a data calculation module and an anxiety evaluation module;
the electroencephalogram signal preprocessing module is used for preprocessing acquired electroencephalogram data such as amplification, electrooculogram removal, filtering, analysis section interception, baseline correction, reference electrode conversion and artifact removal;
the data calculation module is used for extracting power values of all frequency points in the alpha frequency band, quantifying the relation among all channels and constructing a composite expression processing brain network according to a weight minimum principle;
the anxiety evaluation module is used for extracting the neural index of the brain network and evaluating the social anxiety degree.
The social anxiety assessment device based on the compound expression processing brain network comprises one or more processors and is used for realizing the social anxiety assessment method based on the compound expression processing brain network.
A computer-readable storage medium having stored thereon a program which, when executed by a processor, implements the method for social anxiety assessment that processes a brain network based on compound expressions.
The invention has the following beneficial effects:
1. the system of the invention can objectively evaluate the social anxiety degree of the individual by means of the EEG signal, and effectively avoids the problems of post sampling, strong subjectivity, social prospective deviation and the like of the traditional measuring means.
2. A better social anxiety adjustment training scheme can be designed by adjusting variables such as training steps, duration, treatment period and the like based on effect comparison among groups.
3. The method and the system have the characteristics of non-invasiveness, safety, high efficiency and low cost, can be used for mental health care, public security investigation, personnel and post matching and talent selection, and have wide market value and application prospect.
Drawings
FIG. 1 is a block diagram of a social anxiety assessment system for processing brain networks based on compound expressions according to the present invention;
FIG. 2 is a flow chart of a social anxiety assessment method for processing brain networks based on compound expressions according to the present invention;
fig. 3 is a schematic structural diagram of the social anxiety assessment apparatus based on compound expression processing brain network according to the present invention.
Detailed Description
In order to make the objects, technical solutions and technical effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples.
As shown in fig. 1, the social anxiety assessment system for processing brain network based on compound expression of the present invention includes:
the composite expression stimulation testing device comprises an expression stimulation presenting device and a storage device, is used for presenting the content of a composite expression stimulation testing program, developing a composite expression stimulation test for a testee and storing a composite expression stimulation material. The screen can be used as a visual stimulus source according to daily browsing habits.
And the electroencephalogram measuring equipment is used for acquiring electroencephalogram data of the testee and transmitting the electroencephalogram data to the evaluation and calculation unit. As an optional embodiment, a NeuroScan electroencephalogram acquisition system (comprising 64 conductive electrode caps, a junction box, an amplifier, a computer host and the like, wherein in the measurement process, the voltage error is not more than +/-10%, the input noise is not more than 0.5uV RMS, the common mode rejection ratio is more than 110dB, the requirement on high sensitivity and strong anti-interference capability is met, time delay is avoided, and after analog-to-digital conversion is carried out on sampling data in the amplifier, the data are stored and backed up). The compound expression stimulation testing device transmits the time stamp to the electroencephalogram data through the host computer and based on a TCP/IP protocol, so that stimulation and the electroencephalogram data are synchronized, and the device can be used for exporting and analyzing the subsequent electroencephalogram data in an off-line manner. Configuration of the host used in the system: a CPU: intel Core i7-9700 equal or higher configuration; GPU: NVIDIA GeForce GTX2080 Ti with equal or higher configuration; memory: 64GB RAM or above; 1TB available disk space).
And the evaluation calculation unit comprises an electroencephalogram signal preprocessing module, a data calculation module and an anxiety evaluation module.
The electroencephalogram signal preprocessing module is used for amplifying acquired electroencephalogram signals, removing electrooculogram, filtering, intercepting an analysis section, correcting a base line, converting a reference electrode and removing artifacts;
the data calculation module is used for extracting the power value of the alpha frequency band, quantizing the relation among all channels, and constructing a composite expression processing brain network according to the weight minimum principle;
the anxiety evaluation module is used for extracting the nerve indexes and evaluating the social anxiety degree.
As shown in fig. 2, the social anxiety assessment method based on compound expression processing brain network of the present invention is implemented based on the above assessment system, and specifically includes the following steps:
step S1: the multichannel electroencephalogram measuring equipment is worn for a testee.
The number of electrode cap channels of the multi-channel electroencephalogram measuring equipment is more than 32, so that the whole brain is covered, and enough nodes are provided for establishing a brain network. Saline or gel electrodes may be used to make the impedance of each channel below 5k omega, with the channel configuration using the international, uniform standard 10-20 system. The testee is informed of the purpose, flow, operation method of the test and the harmlessness of the electroencephalogram signal acquisition in detail, and signs an informed consent.
Step S2: and carrying out a compound expression stimulation test for the testee, and synchronously acquiring multi-channel electroencephalogram data.
The subject should minimize head movements or other body movements and minimize interference from extraneous visual or auditory stimuli.
The compound expression stimulation test means that negative compound expression pictures are presented to a testee, more than 40 pictures need to be watched by each tester, the presentation time of each negative compound expression picture is 1000 milliseconds, a plus screen and a blank screen which prompt attention are used for carrying out interval between picture presentations, and the presentation time is 400 plus 600 milliseconds. As an alternative embodiment, E-prime software may be used to control the presentation of the stimulus material, thereby enabling millisecond-scale manipulation.
Step S3: preprocessing the electroencephalogram data, and extracting the power value of each frequency point in the alpha frequency band through short-time Fourier transform.
Preprocessing the electroencephalogram data acquired in the testing process, including removing ocular discharge, bandwidth filtering (reserving a frequency band of 0.5 Hz-100 Hz) and recess filtering (removing 50Hz mains supply interference), analyzing section intercepting (intercepting electroencephalogram data from 200 milliseconds before the picture appears to 800 milliseconds after the picture appears), baseline correction (taking electroencephalogram data from 200 milliseconds before the picture appears to the picture appearing time as a baseline), reference electrode conversion, artifact removal, and extracting power values of all frequency points in an alpha frequency band (8 Hz-10 Hz) through short-time Fourier transformation.
Step S4: and quantizing the relation among the channels according to the power synchronization degree.
The power synchronization degree refers to an average power synchronization degree L between every two channels, and a calculation formula of the L is as follows:
Step S5: and constructing a compound expression processing brain network according to a weight minimum principle.
Specifically, channels are used as nodes, the average power synchronization degree L between the two channels is used as the weight of edges in the brain network, the edges are arranged in an ascending order, the edge with the minimum weight is added in sequence, if the added edge forms a loop, the edge is discarded until all the nodes are contained in the brain network, and the composite expression processing brain network is constructed.
Step S6: and extracting the neural index of the brain network so as to evaluate the social anxiety degree.
Specifically, a leaf node ratio E is used as a neural index of the compound expression processing brain network, the leaf node ratio E represents the proportion of nodes with the degree of 1 to all the node numbers, E belongs to [0, 1], and the larger the value of E is, the higher the social anxiety degree of the individual is.
Corresponding to the foregoing embodiments of the multi-synaptic plasticity pulse neural network-based fast memory coding method, the invention also provides embodiments of a multi-synaptic plasticity pulse neural network-based fast memory coding device.
Referring to fig. 3, the social anxiety assessment apparatus for processing a brain network based on compound expressions provided in the embodiment of the present invention includes one or more processors, and is configured to implement the social anxiety assessment method for processing a brain network based on compound expressions in the embodiment.
The embodiment of the social anxiety assessment code device for processing brain network based on compound expressions can be applied to any equipment with data processing capability, such as computers and other equipment or devices. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. The software implementation is taken as an example, and as a logical device, the device is formed by reading corresponding computer program instructions in the nonvolatile memory into the memory for running through the processor of any device with data processing capability. In terms of hardware, as shown in fig. 3, a hardware structure diagram of any device with data processing capability where the social anxiety assessment code apparatus for processing a brain network based on compound expressions is located according to the present invention is shown, except for the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 3, in an embodiment, any device with data processing capability where the apparatus is located may also include other hardware according to the actual function of the any device with data processing capability, which is not described again.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiment of the invention also provides a computer-readable storage medium, wherein a program is stored on the computer-readable storage medium, and when the program is executed by a processor, the social anxiety assessment method based on compound expression processing brain network in the embodiment is realized.
The computer readable storage medium may be an internal storage unit, such as a hard disk or a memory, of any data processing capability device described in any of the foregoing embodiments. The computer readable storage medium may also be an external storage device of the wind turbine, such as a plug-in hard disk, a Smart Media Card (SMC), an SD Card, a Flash memory Card (Flash Card), and the like, provided on the device. Further, the computer readable storage medium may include both an internal storage unit and an external storage device of any data processing capable device. The computer-readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing-capable device, and may also be used for temporarily storing data that has been output or is to be output.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way. Although the foregoing has described the practice of the present invention in detail, it will be apparent to those skilled in the art that modifications may be made to the practice of the invention as described in the foregoing examples, or that certain features may be substituted in the practice of the invention. All changes, equivalents and modifications which come within the spirit and scope of the invention are desired to be protected.
Claims (10)
1. A social anxiety assessment method based on compound expression processing brain network is characterized by comprising the following steps:
step S1: wearing a multichannel electroencephalogram measuring device for a subject;
step S2: carrying out a compound expression stimulation test for a testee, and synchronously acquiring multi-channel electroencephalogram data;
step S3: preprocessing the acquired electroencephalogram data, and extracting power values of all frequency points in an alpha frequency band through short-time Fourier transform;
step S4: quantizing the relation among all channels according to the power synchronization degree;
step S5: constructing a composite expression processing brain network according to a weight minimum principle;
step S6: and processing a brain network based on the compound expression, extracting a brain network nerve index, and evaluating the social anxiety degree.
2. The method for assessing social anxiety of a brain network based on compound expression processing as claimed in claim 1, wherein the number of channels of the electrode cap of the multi-channel electroencephalogram measuring device is greater than 32, and the channels are configured by a 10-20 system of international unified standard.
3. The method for assessing social anxiety based on compound expression processed brain network according to claim 1, wherein the compound expression stimulation test specifically comprises: the negative compound expression pictures are presented for the testee, more than 40 pictures need to be watched by each tester each time, the presentation time of each negative compound expression picture is 1000 milliseconds, the pictures are presented at intervals by a plus screen and a blank screen which prompt attention, and the presentation time is 400 plus 600 milliseconds.
4. The method for assessing social anxiety based on compound expression processing brain network according to claim 1, wherein the preprocessing specifically comprises: removing the electrooculogram; bandwidth filtering: reserving a frequency range of 0.5 Hz-100 Hz; and (3) notch filtering: removing 50Hz mains supply interference; intercepting an analysis section: intercepting electroencephalogram data from 200 milliseconds before the picture appears to 800 milliseconds after the picture appears; baseline correction: taking electroencephalogram data from 200 milliseconds before the picture appears to the picture presenting time as a baseline; and switching the reference electrode and removing the artifacts.
5. The method for assessing social anxiety of processing brain network based on compound expressions according to claim 1, wherein the power synchronization degree is an average power synchronization degree L between every two channels, and the calculation formula of L is as follows:
6. The method for assessing social anxiety of processing brain network based on compound expressions according to claim 5, wherein the step S5 is specifically as follows: and taking the channels as network nodes, taking the average power synchronization degree L between the two channels as the weight of the edges in the brain network, arranging the edges in an ascending order, adding the edge with the minimum weight in sequence, if the added edge forms a cycle, discarding the edge, and completing the construction of the composite expression processing brain network until all the nodes are contained in the brain network.
7. The method for assessing social anxiety based on compound expression processed brain network as claimed in claim 6, wherein the step S6 is specifically: and (3) using a leaf node ratio E as a neural index of the composite expression processing brain network, wherein the leaf node ratio E represents the proportion of the nodes with the degree of 1 to all the nodes, E belongs to [0, 1], and the higher the E value is, the higher the social anxiety degree of the individual is.
8. A social anxiety assessment system for processing brain networks based on compound expressions, comprising:
the compound expression stimulation testing device comprises an expression stimulation presenting device and a storage device, and is used for presenting the content of a compound expression stimulation testing program, developing a compound expression stimulation test for a testee and storing a compound expression stimulation material;
the electroencephalogram measuring equipment is used for acquiring electroencephalogram data of the testee and transmitting the electroencephalogram data to the evaluation and calculation unit;
the evaluation calculation unit comprises an electroencephalogram signal preprocessing module, a data calculation module and an anxiety evaluation module;
the electroencephalogram signal preprocessing module is used for preprocessing acquired electroencephalogram data such as amplification, electrooculogram removal, filtering, analysis section interception, baseline correction, reference electrode conversion and artifact removal;
the data calculation module is used for extracting power values of all frequency points in the alpha frequency band, quantifying the relation among all channels and constructing a composite expression processing brain network according to a weight minimum principle;
the anxiety evaluation module is used for extracting the neural index of the brain network and evaluating the social anxiety degree.
9. A social anxiety assessment device based on compound expression processing brain network, characterized by comprising one or more processors for implementing the social anxiety assessment method based on compound expression processing brain network according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a program is stored thereon, which when executed by a processor, implements the method for social anxiety assessment based on compound expression tailored brain networks according to any one of claims 1 to 7.
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